Publications

Peer-reviewed articles from the NERVE Lab.

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  1. Cognitive Process Models Reveal Meaningful Brain–Behavior Associations in the Adolescent Brain Cognitive Development Study Stop-signal Task

    Barrows A, Weigard A, McCabe M, Potter A, Garavan H, Allgaier N

    Journal of Cognitive Neuroscience, 2026

    0 citations
  2. Investigating links between prenatal cannabis exposure and brain development using MRI techniques: a narrative review

    Gonçalves P, Woodruff J, Pozzolo Pedro M, Van Dijk M, Bruzelius E, Martins S, et al.

    Biological Psychiatry: Global Open Science, 2026

  3. Connectome-based predictive modeling of concurrent and longitudinal substance use vulnerability in adolescence

    Guassi Moreira J, Allgaier N, Johnson M, Potter A, Garavan H, Fair D

    Developmental Cognitive Neuroscience, 2026

  4. Vision Transformers for Small Datasets

    Zhang W, Li J, Johnson S

    CVPR 2025, 2025

    PDF Demo Best Student Paper
  5. Smoking reduction trajectories and their association with smoking cessation: a secondary analysis of longitudinal clinical trial data

    Barrows A, Klemperer E, Garavan H, Allgaier N, Lindson N, Taylor G

    BMJ Public Health, 2025

  6. Impulsivity and neuroticism share distinct functional connectivity signatures with alcohol-use risk in youth

    Cheng A, Lichenstein S, Chaarani B, Liang Q, Babaeianjelodar M, Riley S, et al.

    Molecular Psychiatry, 2025

    1 citation
  7. Impulsivity behaviors and white matter mediate the relationship between genetic risk for cannabis use disorder and early cannabis use in adolescents

    Cupertino R, Medland S, Ottino-Gonzalez J, Cao Z, Juliano A, Pancholi D, et al.

    Addiction, 2025

  8. Task and resting state fMRI modelling of brain-behavior relationships in developmental cohorts

    Uddin L, Garavan H

    Biological Psychiatry, 2025

  9. High-Fidelity Image Generation with Latent Diffusion Models

    Chen E, Wang D, Brown M

    NeurIPS 2024, 2024

  10. Unraveling the molecular relevance of brain phenotypes: A comparative analysis of null models and test statistics

    Cao Z, Zhan G, Qin J, Cupertino R, Ottino-Gonzalez J, Murphy A, et al.

    NeuroImage, 2024

  11. Associations Between Family History of Alcohol and/or Substance Use Problems and Frontal Cortical Development From 9 to 13 Years of Age: A Longitudinal Analysis of the ABCD Study

    Gonçalves P, Martins S, Gebru N, Ryan-Pettes S, Allgaier N, Potter A, et al.

    Biological Psychiatry Global Open Science, 2024

    11 citations
  12. Brain structural covariance network features are robust markers of early heavy alcohol use

    Ottino-González J, Cupertino R, Cao Z, Hahn S, Pancholi D, Albaugh M, et al.

    Addiction, 2024

  13. Neuroanatomical Variability and Substance Use Initiation in Late Childhood and Early Adolescence

    Miller A, Baranger D, Paul S, Garavan H, Mackey S, Tapert S, et al.

    JAMA Network Open, 2024

    36 citations
  14. Parameter Space and Potential for Biomarker Development in 25 Years of fMRI Drug Cue Reactivity: A Systematic Review

    Sangchooli A, Zare-Bidoky M, Fathi Jouzdani A, Schacht J, Bjork J, Claus E, et al.

    JAMA Psychiatry, 2024

    30 citations
  15. Amygdala connectivity is associated with withdrawn/depressed behavior in a large sample of children from the Adolescent Brain Cognitive Development (ABCD) Study®

    Thomas E, Juliano A, Owens M, Cupertino R, Mackey S, Hermosillo R, et al.

    Psychiatry Research: Neuroimaging, 2024

  16. Conduct problems are associated with accelerated thinning of emotion-related cortical regions in a community-based sample of adolescents

    Albaugh M, Hudziak J, Spechler P, Chaarani B, Lepage C, Jeon S, et al.

    Psychiatry Research: Neuroimaging, 2023

  17. Recalibrating single-study effect sizes using hierarchical Bayesian models

    Cao Z, McCabe M, Callas P, Cupertino R, Ottino-González J, Murphy A, et al.

    Frontiers in Neuroimaging, 2023

    6 citations
  18. Differential associations of adolescent versus young adult cannabis initiation with longitudinal brain change and behavior

    Albaugh M, Owens M, Juliano A, Ottino-Gonzalez J, Cupertino R, Cao Z, et al.

    Molecular Psychiatry, 2023

    17 citations
  19. Effects of parental mental health and family environment on impulsivity in preadolescents: a longitudinal ABCD study®

    Gebru N, Goncalves P, Cruz R, Thompson W, Allegair N, Potter A, et al.

    Frontiers in Behavioral Neuroscience, 2023

    8 citations
  20. Gender diversity associated with patterns of brain activation seen in populations that experience childhood stress

    Loso H, Chaarani B, Dube S, Albaugh M, Cheaito A, Garavan H, et al.

    Frontiers in Integrative Neuroscience, 2023

    3 citations
  21. Associations Between Gender Nonconformity, School Environments, Family Conflict, and Emotional and Behavioral Health Among Children Ages 10–11

    Loso H, Dube S, Chaarani B, Ivanova M, Garavan H, Johns M, et al.

    Journal of Adolescent Health, 2023

  22. Machine learning approaches linking brain function to behavior in the ABCD STOP task

    Yuan D, Hahn S, Allgaier N, Owens M, Chaarani B, Potter A, et al.

    Human Brain Mapping, 2023

  23. Task fMRI paradigms may capture more behaviorally relevant information than resting-state functional connectivity

    Zhao W, Makowski C, Hagler D, Garavan H, Thompson W, Greene D, et al.

    NeuroImage, 2023

  24. Cortical profiles of numerous psychiatric disorders and normal development share a common pattern

    Cao Z, Cupertino R, Ottino-Gonzalez J, Murphy A, Pancholi D, Juliano A, et al.

    Molecular Psychiatry, 2022

    11 citations
  25. Association of Video Gaming With Cognitive Performance Among Children

    Chaarani B, Ortigara J, Yuan D, Loso H, Potter A, Garavan H

    JAMA Network Open, 2022

    88 citations
  26. Prenatal cannabis exposure predicts attention problems, without changes on fMRI in adolescents

    Cioffredi L, Anderson H, Loso H, East J, Nguyen P, Garavan H, et al.

    Neurotoxicology and Teratology, 2022

  27. The ABCD stop signal data: Response to Bissett et al.

    Garavan H, Chaarani B, Hahn S, Allgaier N, Juliano A, Yuan D, et al.

    Developmental Cognitive Neuroscience, 2022

    20 citations
  28. Performance scaling for structural MRI surface parcellations: a machine learning analysis in the ABCD Study

    Hahn S, Owens M, Yuan D, Juliano A, Potter A, Garavan H, et al.

    Cerebral Cortex, 2022

    3 citations
  29. Association Between Brain Structure and Alcohol Use Behaviors in Adults: A Mendelian Randomization and Multiomics Study

    Mavromatis L, Rosoff D, Cupertino R, Garavan H, Mackey S, Lohoff F

    JAMA Psychiatry, 2022

    39 citations
  30. Brain structural covariance network differences in adults with alcohol dependence and heavy-drinking adolescents

    Ottino-González J, Garavan H, ENIGMA-Addiction T, consortiums I

    Addiction, 2022

  31. Bayesian causal network modeling suggests adolescent cannabis use accelerates prefrontal cortical thinning

    Owens M, Albaugh M, Allgaier N, Yuan D, Robert G, Cupertino R, et al.

    Translational Psychiatry, 2022

    18 citations
  32. White matter microstructure differences in individuals with dependence on cocaine, methamphetamine, and nicotine: Findings from the ENIGMA-Addiction working group

    Ottino-González J, Uhlmann A, Hahn S, Cao Z, Cupertino R, Schwab N, et al.

    Drug and Alcohol Dependence, 2022

  33. One-Year Predictions of Delayed Reward Discounting in the Adolescent Brain Cognitive Development Study.

    Owens M, Hahn S, Allgaier N, MacKillop J, Albaugh M, Yuan D, et al.

    Experimental and Clinical Psychopharmacology, 2022

  34. Association of Cannabis Use During Adolescence With Neurodevelopment

    Albaugh M, Ottino-Gonzalez J, Sidwell A, Lepage C, Juliano A, Owens M, et al.

    JAMA Psychiatry, 2021

    129 citations
  35. Characterizing reward system neural trajectories from adolescence to young adulthood

    Cao Z, Ottino-Gonzalez J, Cupertino R, Juliano A, Chaarani B, Banaschewski T, et al.

    Developmental Cognitive Neuroscience, 2021

  36. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

    Devlin J, Chang M, Lee K, Toutanova K

    NAACL-HLT, 2019

    PDF Code Best Paper
  37. Attention is all you need

    Vaswani A, Shazeer N, Parmar N, Uszkoreit J, Jones L, Gomez A, et al.

    Advances in neural information processing systems, 2017

  38. Deep residual learning for image recognition

    He K, Zhang X, Ren S, Sun J

    Proceedings of the IEEE conference on computer vision and pattern recognition, 2016

  39. Generative Adversarial Nets

    Goodfellow I, Pouget-Abadie J, Mirza M, Xu B, Warde-Farley D, Ozair S, et al.

    NIPS, 2014